Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.

• Two-step principal component analysis (PCA) as a method for separating auditory N1 and N250 elicited from 9-year-old children using a dense electrode array : comparison between ERP-PCA and CSD-PCA 

  Pantsar, Riikka (2008)

• Event-related potentials to tones show differences between children with multiple risk factors for dyslexia and control children before the onset of formal reading instruction 

  Hämäläinen, Jarmo; Lohvansuu, Kaisa; Ervast, Leena; Leppänen, Paavo H.T. (Elsevier BV; International Organization of Psychophysiology, 2015)

  Multiple risk factors can affect the development of specific reading problems or dyslexia. In addition to the most prevalent and studied risk factor, phonological processing, also auditory discrimination problems have ...

• Single-trial-based temporal principal component analysis on extracting event-related potentials of interest for an individual subject 

  Zhang, Guanghui; Li, Xueyan; Lu, Yingzhi; Tiihonen, Timo; Chang, Zheng; Cong, Fengyu (Elsevier, 2023)

  Background: Temporal principal component analysis (tPCA) has been widely used to extract event-related potentials (ERPs) at group level of multiple subjects ERP data and it assumes that the underlying factor loading is ...

• Attentional Processes in Children With Attentional Problems or Reading Difficulties as Revealed Using Brain Event-Related Potentials and Their Source Localization 

  Santhana Gopalan, Praghajieeth Raajhen; Loberg, Otto; Lohvansuu, Kaisa; McCandliss, Bruce; Hämäläinen, Jarmo; Leppänen, Paavo (Frontiers Media, 2020)

  Visual attention-related processes include three functional sub-processes: alerting, orienting, and inhibition. We examined these sub-processes using reaction times, event-related potentials (ERPs), and their neuronal ...

• Tensor clustering on outer-product of coefficient and component matrices of independent component analysis for reliable functional magnetic resonance imaging data decomposition 

  Hu, Guoqiang; Zhang, Qing; Waters, Abigail B.; Li, Huanjie; Zhang, Chi; Wu, Jianlin; Cong, Fengyu; Nickerson, Lisa D. (Elsevier BV, 2019)

  Background. Stability of spatial components is frequently used as a post-hoc selection criteria for choosing the dimensionality of an independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) ...